Kiong Tiong Sieh, Salem S Balasem, Paw Johnny Koh Siaw, Sankar K Prajindra, Darzi Soodabeh
Power Engineering Center, College of Engineering, Universiti Tenaga Nasional, Kajang, Selangor, Malaysia.
Center of System and Machine Intelligence, College of Engineering, Universiti Tenaga Nasional, Kajang, Selangor, Malaysia.
ScientificWorldJournal. 2014;2014:164053. doi: 10.1155/2014/164053. Epub 2014 Jun 5.
In smart antenna applications, the adaptive beamforming technique is used to cancel interfering signals (placing nulls) and produce or steer a strong beam toward the target signal according to the calculated weight vectors. Minimum variance distortionless response (MVDR) beamforming is capable of determining the weight vectors for beam steering; however, its nulling level on the interference sources remains unsatisfactory. Beamforming can be considered as an optimization problem, such that optimal weight vector should be obtained through computation. Hence, in this paper, a new dynamic mutated artificial immune system (DM-AIS) is proposed to enhance MVDR beamforming for controlling the null steering of interference and increase the signal to interference noise ratio (SINR) for wanted signals.
在智能天线应用中,自适应波束成形技术用于消除干扰信号(形成零陷),并根据计算出的权向量朝着目标信号产生或引导一个强波束。最小方差无失真响应(MVDR)波束成形能够确定用于波束引导的权向量;然而,其对干扰源的零陷水平仍不尽人意。波束成形可被视为一个优化问题,即应通过计算获得最优权向量。因此,本文提出一种新的动态变异人工免疫系统(DM-AIS),以增强MVDR波束成形,用于控制干扰的零陷引导,并提高期望信号的信干噪比(SINR)。